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AI Engineer – Generative AI / LLMs / RAG
Job Description
We are looking for an AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. You will design, build, and deploy intelligent applications such as chatbots, copilots, and AI-powered automation tools. This role combines software engineering, machine learning, and prompt/context engineering to deliver scalable, production-ready AI systems.
Key Responsibilities
Design and implement AI-powered applications using LLMs (OpenAI, Anthropic, open-source models, etc.)
Build and optimize RAG pipelines (vector databases, embeddings, retrieval strategies)
Develop chatbots and conversational AI systems with strong context management
Implement prompt engineering and context engineering strategies for reliable outputs
Integrate LLMs into backend systems via APIs and microservices
Work with vector databases (Pinecone, Weaviate, FAISS, etc.)
Optimize performance, latency, and cost of AI systems
Evaluate model outputs and implement guardrails (safety, hallucination reduction)
Collaborate with product and engineering teams to define AI features
Deploy and monitor AI services in cloud environments (AWS, Azure, GCP)
Qualifications
Required Qualifications
Strong programming skills in Python (preferred) or similar languages
Experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
Solid understanding of RAG architectures and embeddings
Experience building APIs and scalable backend systems
Familiarity with prompt engineering and evaluation techniques
Understanding of vector search and semantic retrieval
Experience with cloud platforms and containerization (Docker, Kubernetes is a plus)
Preferred Qualifications
Experience with fine-tuning or adapting LLMs
Knowledge of transformers and NLP fundamentals
Experience with agent-based systems or tool-using LLMs
Familiarity with ML Ops / LLM Ops practices
Experience with real-time conversational systems
Exposure to evaluation frameworks (RAG eval, LLM benchmarking)
Nice to Have
Experience with multi-modal models (text, image, audio)
Knowledge of knowledge graphs or hybrid retrieval systems
Your life at Accenture
At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.
Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.
The position is available exclusively for collaboration under an individual working contract (CIM).
#LI-EU
Locations
Cluj-Napoca, Targu-Mures, Timisoara
